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Introduction to Game AI Paperback – June 17, 2010

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Editorial Reviews


Chapter 1. Introduction: Game AI and How to Use This Book. Chapter 2. Simple Hard-Coded AI. Chapter 3. Finite State Machines. Chapter 4. Rule-Based AI. Chapter 5. Introduction to Random and Probabilistic Decisions. Chapter 6. Look-ahead, the First Step of Planning. Chapter 7. Book of Moves. Chapter 8. Emergent Behaviors. Chapter 9. Topics to Pursue From Here.

About the Author

Neil is a member of Technical Staff at Bell Labs, the R&D arm of Alcatel-Lucent. He has hosted the AI Programmers Dinner and moderated the AI Roundtables at GDC for many years. He is on the IGDA Foundation Board of Trustees and has spearheaded the Eric Dybsand Memorial Scholarship for AI for the last three years. He has articles in AI Game Programming Wisdom volumes 1, 2, and 4. He was a section editor for two sections of Wisdom 4. He currently consults on CMMI, software architecture reviews, artifact flow-through, tool integration, and process improvement. He also teaches a two-day class, Avoiding the Software Performance Crisis. When not consulting, he develops .NET solutions. His previous assignments included building speech recognition software and teaching at the university level. Neil holds a master's degree in computer science from Ohio State University. In his spare time he designs multi-player, tactical combat computer games and especially enjoys writing AI for computer opponents that play well without cheating.
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Product Details

  • Paperback: 400 pages
  • Publisher: Cengage Learning PTR; 1 edition (June 17, 2010)
  • Language: English
  • ISBN-10: 1598639986
  • ISBN-13: 978-1598639988
  • Product Dimensions: 1.2 x 7.5 x 9 inches
  • Shipping Weight: 1.8 pounds (View shipping rates and policies)
  • Average Customer Review: 4.0 out of 5 stars  See all reviews (1 customer review)
  • Amazon Best Sellers Rank: #2,052,665 in Books (See Top 100 in Books)

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Top Customer Reviews

Format: Paperback
I have had this book for a while and have found it to be useful. This is a great introduction and uses several example projects. There are no AI 'recipes,' but it does demonstrate the concept well so further implementation should not be too much trouble.

Being written in Visual Basic was a great plus. I would recommend this book to anybody interested in implementing AI, especially in VB.
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